Description Usage Arguments Value Author(s)

Perform multiple hierachical clustering on random subsets of a dataset

1 2 3 4 |

`x` |
the numeric matrix containing the data to cluster (one instance per row) |

`seeds` |
a vector of random seed to use. |

`row.rate, col.rate` |
numeric value in [0,1] to specify the proportion of instance (resp. feature) to subset at each random iteration. |

`max.cluster` |
upper bound on the number of expected cluster (can by +Inf). |

`ret.height` |
a logical to specify whether the average merging height should be returned. |

`hc.method` |
a clustering method of arity 1, taking as input a random subset of the input matrix x and returning an hclust object |

`...` |
additional arguments are passed to the hc.method |

a list of 3 square matrices N,H,K of size nrow(x): N is the number of time each pair of instance as been seen in the random subsets; H is the corresponding sum of heights for the pairs; K is the sum of the number of split possible that still preserve the two samples into the same cluster.

Julien Prados

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